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Volumn 2, Issue , 2005, Pages 1410-1417

Optimization of noisy fitness functions with univariate marginal distribution algorithm

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS; FUNCTIONS; GENETIC ALGORITHMS; PROBABILITY; SPURIOUS SIGNAL NOISE;

EID: 27144542958     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (17)
  • 1
    • 0004901190 scopus 로고
    • Genetic algotrithms, tournament selection, and the effects of noise
    • Department of Computer Science, University of Illinois at Urbana Champaign, Urbana
    • B. L. Miller and D. E. Goldberg. (1995). Genetic algotrithms, tournament selection, and the effects of noise. ILLiGAL Report No 95006, Department of Computer Science, University of Illinois at Urbana Champaign, Urbana
    • (1995) ILLiGAL Report No 95006
    • Miller, B.L.1    Goldberg, D.E.2
  • 2
    • 0033737186 scopus 로고    scopus 로고
    • Evolutionary algorithms in noisy enviroments: Theoretical issues and guidelines for practice
    • H. G. Beyer.(2000). Evolutionary algorithms in noisy enviroments: theoretical issues and guidelines for practice. Computer Methods in Applied Mechanics and Engineering, 186(2-4):239-267
    • (2000) Computer Methods in Applied Mechanics and Engineering , vol.186 , Issue.2-4 , pp. 239-267
    • Beyer, H.G.1
  • 4
    • 84878607496 scopus 로고    scopus 로고
    • Creating robust solution by means of evolutionary algorithms
    • J. Brank (1998). Creating Robust Solution by means of Evolutionary Algorithms. Proceeding of 5th PPSN, 119-128
    • (1998) Proceeding of 5th PPSN , pp. 119-128
    • Brank, J.1
  • 5
    • 21044437809 scopus 로고    scopus 로고
    • Optimization of noisy fitness functions by means of genetic algorithms using history of search
    • Y. Sano and H. Kita. (2000). Optimization of Noisy Fitness Functions by means of Genetic Algorithms using History of search. Proceeding of 6th PPSN, 571-580
    • (2000) Proceeding of 6th PPSN , pp. 571-580
    • Sano, Y.1    Kita, H.2
  • 7
    • 27144550349 scopus 로고    scopus 로고
    • Optimization with noisy function evaluations
    • V. Nissen and J. Propach. (2000). Optimization with Noisy Function Evaluations. Proceeding of 5th PPSN, 159-168
    • (2000) Proceeding of 5th PPSN , pp. 159-168
    • Nissen, V.1    Propach, J.2
  • 10
    • 0002932917 scopus 로고    scopus 로고
    • Evolutionary algorithms: From recombination to search distributions, Theretical aspects of evolutionary computation
    • H. Mühlenbein and T. Mahnig. (2000). Evolutionary algorithms: From recombination to search distributions, Theretical Aspects of Evolutionary Computation. Natural Computing, 137-176
    • (2000) Natural Computing , pp. 137-176
    • Mühlenbein, H.1    Mahnig, T.2
  • 11
    • 0031215849 scopus 로고    scopus 로고
    • The equation for response to selection and its use for prediction
    • H. Mühlenbein, (1998).The equation for response to selection and its use for prediction. Evolutionary Computation 5:303-346
    • (1998) Evolutionary Computation , vol.5 , pp. 303-346
    • Mühlenbein, H.1
  • 15
    • 2442661659 scopus 로고    scopus 로고
    • On the convergent order of a class of Estimation of Distribution Algorithms
    • Q. Zhang, and H. Mühlenbein. (2004) On the convergent order of a class of Estimation of Distribution Algorithms. IEEE transaction on evolutionary computation. 127-136
    • (2004) IEEE Transaction on Evolutionary Computation , pp. 127-136
    • Zhang, Q.1    Mühlenbein, H.2
  • 16
    • 15544377453 scopus 로고    scopus 로고
    • Drift and scaling in estimation of distribution algorithms
    • L. Shapiro. (2005). Drift and Scaling in Estimation of Distribution Algorithms. Evolutionary Computation, 99-123
    • (2005) Evolutionary Computation , pp. 99-123
    • Shapiro, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.